Checkout.com MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Checkout.com through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Checkout.com Assistant",
instructions=(
"You help users interact with Checkout.com. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Checkout.com"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Checkout.com MCP Server
Connect your Checkout.com account to any AI agent and take full control of your payment workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Checkout.com through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Checkout.com, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Payments — Request, capture, void, and refund payments with support for various currencies and sources
- Vaulting (Instruments) — Securely create, list, update, and delete payment instruments (cards) in the Checkout.com Vault
- Payment Actions — Track every action taken on a payment to understand authorization successes and failures
- Analytics & History — Audit payment statuses and details directly from your workspace
The Checkout.com MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Checkout.com to OpenAI Agents SDK via MCP
Follow these steps to integrate the Checkout.com MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Checkout.com
Why Use OpenAI Agents SDK with the Checkout.com MCP Server
OpenAI Agents SDK provides unique advantages when paired with Checkout.com through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Checkout.com + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Checkout.com MCP Server delivers measurable value.
Automated workflows: build agents that query Checkout.com, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Checkout.com, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Checkout.com tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Checkout.com to resolve tickets, look up records, and update statuses without human intervention
Checkout.com MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Checkout.com to OpenAI Agents SDK via MCP:
capture_payment
/captures` locking an authorized transaction converting it to native settled limits. Retrieve the exact structural matching verifying Capture processing
create_instrument
Provision a highly-available JSON Payload generating hard Customer bindings
delete_instrument
Irreversibly vaporize explicit validations extracting rich Churn flags
get_instrument
Identify precise active arrays spanning native Vault logic
get_payment_actions
Enumerate explicitly attached structured rules exporting Gateway state
get_payment_details
com nodes. Perform structural extraction of properties driving active Billing logic
refund_payment
/refunds` moving hard cash back exactly to the originating Visa/MC network. Dispatch an automated validation check routing explicit Clawback logic
request_payment
Identify bounded CRM records inside the Headless Checkout.com Gateway
update_instrument
Retrieve explicit Cloud logging tracing explicit Vault limits
void_payment
/voids` dropping limits before a capture closes cutting out heavy gateway fees. Inspect deep internal arrays mitigating specific Plan Math
Example Prompts for Checkout.com in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Checkout.com immediately.
"Refund payment pay_123 for $50.00"
"Show me why payment pay_456 failed"
"Vault this instrument ID src_789 and update the holder name to 'John Doe'"
Troubleshooting Checkout.com MCP Server with OpenAI Agents SDK
Common issues when connecting Checkout.com to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Checkout.com + OpenAI Agents SDK FAQ
Common questions about integrating Checkout.com MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Checkout.com with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Checkout.com to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.